http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Energy Entropy-Based Minimum Power Cost Multipath Routing in MANET
Baolin Sun,Muyao Lu,Kun Xiao,Ying Song,Chao Gui 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.2
Mobile Ad hoc Networks (MANETs) are non-infrastructure networks consisting of mobile nodes. Since the mobile nodes have limited battery power, they are very important to using energy efficiently in MANETs. In order to maximize the lifetime of MANET, traffic should be sent via a route that can avoid nodes with low energy while minimizing the total transmission power. This paper proposes an Energy Entropy-based minimum Power cost Multipath routing algorithm in MANET (EEPMM). It is typically proposed to increase the reliability of data transmission or to provide load balancing. In simulation experiments, we compare EEPMM routing protocol with SHM and MEA-DSR routing protocol, in terms of the network lifetime, and the energy consumption when a packet is transmitted. The performance results indicate that the proposed scheme is quite adaptive for energy-efficient communication in MANETs.
A QoS Multicast Routing Optimization Algorithm Based on Genetic Algorithm
Sun Baolin,Li Layuan The Korea Institute of Information and Commucation 2006 Journal of communications and networks Vol.8 No.1
Most of the multimedia applications require strict quality of service (QoS) guarantee during the communication between a single source and multiple destinations. This gives rise to the need for an efficient QoS multicast routing strategy. Determination of such QoS-based optimal multicast routes basically leads to a multi-objective optimization problem, which is computationally intractable in polynomial time due to the uncertainty of resources in Internet. This paper describes a network model for researching the routing problem and proposes a new multicast tree selection algorithm based on genetic algorithms to simultaneously optimize multiple QoS parameters. The paper mainly presents a QoS multicast routing algorithm based on genetic algorithm (QMRGA). The QMRGA can also optimize the network resources such as bandwidth and delay, and can converge to the optimal or near-optimal solution within few iterations, even for the networks environment with uncertain parameters. The incremental rate of computational cost can close to polynomial and is less than exponential rate. The performance measures of the QMRGA are evaluated using simulations. The simulation results show that this approach has fast convergence speed and high reliability. It can meet the real-time requirement in multimedia communication networks.
Network Coding-based Maximum Lifetime Algorithm for Sliding Window in WSNs
( Baolin Sun ),( Chao Gui ),( Ying Song ),( Hua Chen ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.3
Network coding (NC) is a promising technology that can improve available bandwidth and packet throughput in wireless sensor networks (WSNs). Sliding window is an improved technology of NC, which is a supplement of TCP/IP technology and can improve data throughput and network lifetime on WSNs. This paper proposes a network coding-based maximum lifetime algorithm for sliding window in WSNs (NC-MLSW) which improves the throughput and network lifetime in WSN. The packets on the source node are sent on the WSNs. The intermediate node encodes the received original packet and forwards the newly encoded packet to the next node. Finally, the destination node decodes the received encoded data packet and recovers the original packet. The performance of the NC-MLSWalgorithm is studied using NS2 simulation software and the network packet throughput, network lifetime and data packet loss rate were evaluated. The simulations experiment results show that the NC-MLSW algorithm can obviously improve the network packet throughput and network lifetime.
Energy Efficient with Network Coding Multipath Routing Algorithm in Wireless Sensor Networks
Chao Gui,Hua Chen,Baolin Sun,Ying Song 보안공학연구지원센터 2014 International Journal of Future Generation Communi Vol.7 No.6
Network coding is a new paradigm in data transport and promises to change many aspects of wireless sensor network (WSN). Thanks to the recently developed network coding techniques, a high-throughput low-complexity hierarchical protocol can be facilitated due to the multiple-source relay-based data transmissions built on the network coding schemes, especially for the data communications between the source node and destination node. In this paper, we propose an Energy efficient that carefully couples Network coding and Multipath routing algorithm in Wireless Sensor Networks (ENM-WSN). Through an analytical study, we provide guidance on how to choose parameters in our scheme and demonstrate that the scheme is efficient in both multipath and energy consumption. We also present an algorithm for deciding the network coding scheme for a node to further reduce energy consumption by minimizing redundant packet transmissions. Simulation results show that, with the proposed energy efficient with network coding in WSN multipath routing protocol (ENM-WSN), energy consumption, packet delivery ratio, and network lifetime can be improved in most of cases. It is an available approach to multipath routing decision.
A Novel Energy Entropy Based on Clusterhead Selection Algorithm for Wireless Sensor Networks
Kun Xiao,Baolin Sun,Chao Gui,Hua Chen 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.3
Energy is the primary constraint on designing wireless sensor networks (WSNs) practically, leading to limited network lifetime of WSN. Different communication protocols and algorithms are investigated to find ways to reduce power consumption. Cluster formation and clusterhead selection are critical issues in WSN, which can prolong the lifetime and also improve the network’s performance. In order to maintain the stability of clusters, energy of wireless sensor nodes and connectivity are taken as the basis of clusterhead election. We consider the problem of appropriate clusterhead selection in WSNs. This paper proposes a Novel Energy Entropy Based on Clusterhead Selection Algorithm for WSNs (EE-CSAW). The protocol constructs a new metric of node stability and selects a stable clusterhead with the help of entropy metric to reduce the number of clusterhead reconstruction. It selects the nodes which have the most weight and stability to be the clusterheaders. Simulations demonstrate the performance benefits of our proposal EE-CSAW over SLEACH and Thein’s proposed algorithm in WSNs.
Xiaoyan Guo,Baolin He,Chuntao Sun,Yanxi Zhao,Tao Huang*,Kongyong Liew,Hanfan Liu 대한화학회 2007 Bulletin of the Korean Chemical Society Vol.28 No.10
The second-order scattering (SOS) phenomenon of the interaction of Pd nanoparticles with protein was reported and a simple, sensitive, palladium nanoparticle-based assay for trace amount of protein with SOS technique was developed. The SOS intensities were significantly enhanced due to the interaction of Pd nanoparticles with bovine serum albumin (BSA) or human serum albumin (HSA) at pH 3.5 or 4.0, respectively. The maximum SOS peak appeared at 260/520 nm (lex/lem). The optimal experiment conditions, affecting factors and the influence of some coexisting substances were checked. The SOS intensity increased proportionally with the increase of Pd concentration below 3.0?´?10-5 molL-1, while declined gradually above 4.0 ´ 10-5 molL-1. BSA within the range of 0.01-2.6 mgmL-1 and HSA of 0.01-1.7 mgmL-1 can be detected with this method and the detection limits were 2.3 and 11.2 ngmL-1, respectively. The method was successfully applied to the quantitative detection of total protein content in human serum samples with the maximum relative standard deviation (RSD) lower than 2.6% and the recoveries over the range of 99.5-100.5%.
Jiang Ming,Li Yilin,Sun Baolin,Xu Shiwen,Pan Ting,Li Yujie 한국유전학회 2023 Genes & Genomics Vol.45 No.2
Background Staphylococcus aureus is a major human pathogen, that can lead to various community- and hospital-acquired infections. RinA is a transcription activator of S. aureus phage φ 11 involved in phage packaging and virulence gene transfer. However, little is known about the molecular mechanism of RinA in the regulation of virulence. Objective We aimed to explore a novel contribution of RinA in the regulation of virulence and provide a new drug target in the treatment of S. aureus infections. Methods The specific functions of RinA in S. aureus were analyzed by the methods of growth curve, real-time quantitative PCR (RT-qPCR), subcellular localization, electrophoretic mobility shift assay (EMSA), infection model of Galleria mellonella larvae and the mouse subcutaneous abscess model. Results In this study, we demonstrated that RinA is a protein evenly distributed in the cytoplasm of S. aureus, and its deletion could cause the growth defects. RT-qPCR and EMSA determined that rinA could negatively regulate the expression of sarA by directly binding to its promoter, and vice versa. The Galleria mellonella larvae infection and mouse subcutaneous abscess models revealed that the rinA mutant strain exhibited obvious virulence defects. When sarA is knocked out, the virulence of S.aureus had no significantly changes whether rinA is knocked out or not. Conclusion Our fndings demonstrated that phage transcription activator RinA regulates S. aureus virulence by governing sarA expression.